Principal Services Program Manager

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

This role is for a Principal Services Program Manager at NVIDIA, focusing on leading end-to-end lifecycle management of complex AI infrastructure programs. The responsibilities include defining hardware and software requirements, ensuring field serviceability, driving Design for Serviceability (DfS) initiatives, managing New Product Introduction (NPI) readiness, and collaborating cross-functionally to define operational support models for new service business offerings. The role operates globally, supporting regional operations and engaging with hyperscale customers. While the role involves AI infrastructure, the core function is program management and service operations, not direct AI/ML model development or research.

What you'd actually do

  1. Lead the end-to-end lifecycle of complex AI infrastructure programs, from initial hardware and software requirements definition through global deployment in hyperscale environments.
  2. Partner with Product Engineering and Architecture teams to define and validate Field Serviceability specifications, ensuring products are supportable at scale.
  3. Drive Design for Serviceability (DfS) initiatives and track Cost of Quality (CoQ) across the full product lifecycle.
  4. Ensure New Product Introduction (NPI) readiness, including: repair readiness, forward Stocking Location (FSL) readiness, spares strategy and logistics readiness
  5. Collaborate cross-functionally with Service Operations, Product Engineering, Sales Support, and Enterprise Support teams to define the operational support model required to enable new service business offerings across the customer portfolio.

Skills

Required

  • Bachelor’s degree (BS) or equivalent experience in Electrical Engineering, Mechanical Engineering, or Network Engineering.
  • Proven ability to thrive and adapt in a fast-paced AI product environment.
  • 15+ years of experience in Global Services, supporting hyperscale, cloud, enterprise services, network infrastructure, and planning and logistics operations.
  • Prior experience developing, deploying, and supporting global enterprise service programs, including hardware, software, deployments, and maintenance operations.
  • Proven experience performing financial analysis, including forward-costing models, return on investment analysis, and overhead cost allocation.
  • Demonstrated use of AI-enabled tooling in day-to-day work, along with experience using customer case management systems (e.g., Salesforce / SFDC).

Nice to have

  • Extensive experience deploying networking products in production environments is a plus.
  • Experience working with global, cross-functional teams spanning Services, Sales, Hyperscale / Cloud / Enterprise Product Support, and Engineering, to define priorities and operational processes that meet business targets and customer requirements.
  • Demonstrated flexibility and adaptability, with the ability to adjust to changing requirements, schedules, and priorities in a dynamic environment.
  • Ability to socialize ideas, make well-reasoned recommendations, and build cross-functional consensus to move initiatives forward.
  • Proven track record to communicate effectively, both verbally and in writing, with technical and non-technical audiences at all levels of the organization.
  • Solid statistical foundation, including experience with modeling and forecasting failure rates, service metrics, and customer behavior trends.

What the JD emphasized

  • Proven ability to thrive and adapt in a fast-paced AI product environment.
  • 15+ years of experience in Global Services, supporting hyperscale, cloud, enterprise services, network infrastructure, and planning and logistics operations.
  • Prior experience developing, deploying, and supporting global enterprise service programs, including hardware, software, deployments, and maintenance operations.